Senior Quantitative Developer

SIX ONE COMMODITIES ASIA PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A dynamic commodities trading firm in Singapore is seeking a Quantitative Developer to design and deploy robust ETL pipelines for research data. The ideal candidate will have strong Python and SQL skills, prior experience on a commodities trading desk, and excellent problem-solving abilities. Familiarity with data engineering tools is essential, along with the capacity to collaborate effectively across multiple teams.

Qualifications

• Strong Python development skills in data engineering or quantitative contexts.
• Prior experience on a commodities trading desk or with US Natural Gas trading.
• Strong SQL experience with complex queries and performance tuning.

Responsibilities

• Design and deploy ETL pipelines for research and reference data.
• Maintain SQL databases and ingested datasets.
• Build and maintain scalable infrastructure for automating research tasks.

Skills

Python development

SQL

ETL orchestration

Data modeling

Debugging and problem-solving

Tools

Git

Azure DevOps

Snowflake

Job description

Quantitative Developer

Responsibilities:

1. Design and deploy robust ETL pipelines for fundamental research and reference data.
2. Ensure data lineage, quality, and timelines across critical research/reporting workflows.
3. Maintain SQL databases and ingested datasets.
4. Build and maintain scalable data infrastructure to automate research tasks/reports, including but not limited to in-house Python packages, web applications, MSSQL functions/stored procedures.

Requirements:

1. Strong Python development skills, especially in data engineering or quantitative development contexts, including:

• Market data APIs and web scraping.
• Time series modeling and visualization (pandas, statsmodels, plotly, folium, etc.).
• Building reusable Python models to streamline workflows (SMTP, pyodbc, etc.).

Prior experience working on a commodities trading desk or with US Natural Gas trading.

Strong SQL experience, including data modeling, complex queries, performance tuning, stored procedures, functions, and index management.

Excellent debugging and problem-solving skills.

Experience with ETL orchestrators like Visual Cron, Jenkins, and Airflow.

Familiarity with Git, Azure DevOps, Snowflake.

Ability to collaborate effectively across multiple US offices with diverse stakeholders.

Experience handling multi-dimensional datasets (weather, satellite signals, commodity flows).

Knowledge of machine learning frameworks (scikit-learn, xgboost, etc.).

Experience in optimizing cloud costs and large-scale data storage for operational efficiency and cost-effectiveness.